Manish Bhanu

Orcid: 0000-0002-3751-7025

According to our database1, Manish Bhanu authored at least 12 papers between 2016 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

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Bibliography

2023
ST-A<sub>G</sub>P: Spatio-Temporal aggregator predictor model for multi-step taxi-demand prediction in cities.
Appl. Intell., 2023

2022
gDART: Improving rumor verification in social media with Discrete Attention Representations.
Inf. Process. Manag., 2022

Towards an orthogonality constraint-based feature partitioning approach to classify veracity and identify stance overlapping of rumors on twitter.
Expert Syst. Appl., 2022

Graph Multi-Head Convolution for Spatio-Temporal Attention in Origin Destination Tensor Prediction.
Proceedings of the Advances in Knowledge Discovery and Data Mining, 2022

2021
Embedding Traffic Network Characteristics Using Tensor for Improved Traffic Prediction.
IEEE Trans. Intell. Transp. Syst., 2021

Mirroring Hierarchical Attention in Adversary for Crisis Task Identification: COVID-19, Hurricane Irma.
Proceedings of the 18th International Conference on Information Systems for Crisis Response and Management, 2021

2020
TAQE: Tweet Retrieval-Based Infrastructure Damage Assessment During Disasters.
IEEE Trans. Comput. Soc. Syst., 2020

EnDeA: Ensemble based Decoupled Adversarial Learning for Identifying Infrastructure Damage during Disasters.
Proceedings of the CIKM '20: The 29th ACM International Conference on Information and Knowledge Management, 2020

2018
Enhancing traffic model of big cities: Network skeleton & reciprocity.
Proceedings of the 10th International Conference on Communication Systems & Networks, 2018

Characterizing Infrastructure Damage After Earthquake: A Split-Query Based IR Approach.
Proceedings of the IEEE/ACM 2018 International Conference on Advances in Social Networks Analysis and Mining, 2018

Forecasting Traffic Flow in Big Cities Using Modified Tucker Decomposition.
Proceedings of the Advanced Data Mining and Applications - 14th International Conference, 2018

2016
Exploiting response patterns for identifying topical experts in StackOverflow.
Proceedings of the Eleventh International Conference on Digital Information Management, 2016


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